2019年10月
Assessing the Impact of a New Released Medicine towards Medication Strategy Using Graph Based Visualization
2019 International Conference on Computer, Control, Informatics and its Applications: Emerging Trends in Big Data and Artificial Intelligence, IC3INA 2019
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- 開始ページ
- 140
- 終了ページ
- 145
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1109/IC3INA48034.2019.8949567
- 出版者・発行元
- IEEE
Clinical research has led to the development of new medications and medication strategy may change to gain better treatment outcomes. With the increasing attention to the evidence based medical guideline, it is important for clinicians to study the medication strategy changes. This study is interested in evaluating long-term prescriptions of type 2 diabetes patients provided by Kyoto University Hospital following the release of a new medication in 2010. Frequent sequential pattern mining (FSPM) is a prominent tools for extracting frequent patterns. However, the number of the result set could be enormous and may inhibit clinicians in assessing the results. To help the clinicians, a medication progression graph (MPG) is constructed using adjacent (1-sequence) frequent patterns produced by the singleton pattern mining. Compared to conventional frequent patterns, singleton's patterns features full itemsets and 1-step distance. Hence, the pattern represents the true medication transition event. Using the graph, a clinical physician was able to observe a significant increase of physician's activities in changing the medication after the release (i.e., in MPG that start with Sulfonylurea after 2010, the number of edges is increase by 2.83 and the number of nodes is increase by 2.27 compared to before 2010). Our preliminary results show that the new visualization method enables a clinician to analyze a medication strategy changes after the new medication released.
- リンク情報
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- DOI
- https://doi.org/10.1109/IC3INA48034.2019.8949567
- DBLP
- https://dblp.uni-trier.de/rec/conf/ic3ina/KhotimahYHSOK19
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000528794100028&DestApp=WOS_CPL
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078868419&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85078868419&origin=inward
- URL
- https://dblp.uni-trier.de/rec/conf/ic3ina/2019
- URL
- https://dblp.uni-trier.de/db/conf/ic3ina/ic3ina2019.html#KhotimahYHSOK19
- ID情報
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- DOI : 10.1109/IC3INA48034.2019.8949567
- ISBN : 9781728155401
- DBLP ID : conf/ic3ina/KhotimahYHSOK19
- SCOPUS ID : 85078868419
- Web of Science ID : WOS:000528794100028